Senior Software Engineers

Project Timeline

• Project Duration: Approximately 1 week
• Expected Timeline: July 8–14
• Expected commitment: at least 10 hours
• Candidates must be located in US/Canada due to the need for real-time collaboration with the project team.

Responsibilities

• Become familiar with assigned open-source codebases and their engineering practices
• Review code changes, technical discussions, and related software artifacts
• Evaluate AI-generated code for correctness, quality, maintainability, and engineering best practices
• Provide structured evaluations with clear technical reasoning
• Collaborate with fellow technical reviewers to ensure high-quality and consistent evaluations

Requirements

• Background & Qualifications
• Years of Experience (YOE): 3+ years of professional software engineering experience (or equivalent open-source experience)
• Technical Expertise
• JavaScript / TypeScript: Node.js, React, TypeScript, modern web application development
• Go: Backend services, distributed systems, REST/gRPC APIs, cloud-native development (Kubernetes experience is a plus)
• Python: Backend development, open-source libraries, DevOps/infrastructure automation, testing frameworks
• Software Engineering
• Experience working with large production codebases
• Ability to quickly understand unfamiliar repositories and software architectures
• Experience reviewing code for readability, maintainability, and software design
• Strong engineering judgment and a solid understanding of software engineering best practices
• Github & Open Source
• Strong understanding of Git and GitHub workflows (e.g., branching, Issues, Pull Requests, and Code Reviews)
• Experience navigating open-source repositories and collaborating through GitHub
• Familiarity with open-source development workflows is highly preferred
• Familiarity with SWE-Bench or SWE-Bench Pro is a plus
• Communication
• Strong English communication skills

Company Info

• Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

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